Evidence map›Paper›PMID 34460506›Full record

ArticleJournal of imaging2019

Numerical Simulation of a Scanning Illumination System for Deep Tissue Fluorescence Imaging.

Qimei Zhang, Anna M Grabowska, Philip A Clarke, Stephen P Morgan

Abstract read
In one paragraph

Article in Journal of imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qimei ZhangDepartment of Engineering, Nottingham Trent University, Nottingham NG118PR, UK.ORCID 0000-0001-5811-8034
Anna M GrabowskaSchool of Medicine, Division of Cancer and Stem Cells, University of Nottingham, Nottingham NG72RD, UK.ORCID 0000-0003-1507-921X
Philip A ClarkeSchool of Medicine, Division of Cancer and Stem Cells, University of Nottingham, Nottingham NG72RD, UK.
Stephen P MorganOptics and Photonics Group, Faculty of Engineering, University of Nottingham, Nottingham NG72RD, UK.ORCID 0000-0003-4069-3801

Funding

National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/L001861/1
6 · The paper itself

Abstract

The spatial resolution and light detected in fluorescence imaging for small animals are limited by light scattering, absorption and autofluorescence. To address this, novel near-infrared fluorescent contrast agents and imaging configurations have been investigated. In this paper, the influence of the light wavelength and imaging configurations (full-field illumination system and scanning system) on fluorescence imaging are compared quantitatively. The surface radiance for both systems is calculated by modifying the simulation tool Near-Infrared Fluorescence and Spectral Tomography. Fluorescent targets are embedded within a scattering medium at different positions. The surface radiance and spatial resolution are obtained for emission wavelengths between 620 nm and 1000 nm. It was found that the spatial resolution of the scanning system is independent of the tissue optical properties, whereas for full-field illumination, the spatial resolution degrades at longer wavelength. The full width at half maximum obtained by the scanning system is 25% lower than that obtained by the full-field illumination system when the targets are located in the middle of the phantom. The results indicate that although imaging at near-infrared wavelength can achieve a higher surface radiance, it may produce worse spatial resolution.

Indexed as

fluorescence imagingfull-field illuminationnear infrared fluorescence and spectral tomographyresolution

Identifiers

PMID34460506
PMCPMC8321182

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.